Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data

Monthly Weather Review

Volumn 137, Issue 4, 2009, Pages 1230-1249

  Potvin, Corey K ^a   Shopiro, Alan ^a   Yu, Tian You ^b   Gao, Jidong ^a   Xue, Ming ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b University of Oklahoma   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED REGIONAL PREDICTION SYSTEMS; ANALYTICAL MODEL; DATA SETS; DUAL-DOPPLER OBSERVATIONS; ERROR CHARACTERISTICS; HIGH-RESOLUTION NUMERICAL SIMULATION; HORIZONTAL WINDS; LINEAR DIVERGENCE; LINEAR SHEAR FLOW; LOW ORDER MODELS; OKLAHOMA; RADIAL WINDS; RANKINE VORTICES; SAMPLING STRATEGIES; SUPER CELL; TORNADO-LIKE VORTEX; TWO-STEP PROCEDURE; UNIFORM FLOW; VIRTUAL RADAR; WIND FIELD;

COMPUTER SIMULATION; COMPUTER SIMULATION LANGUAGES; COST FUNCTIONS; DOPPLER EFFECT; DOPPLER RADAR; RADAR; STORMS; SUPERSONIC FLOW; VORTEX FLOW;

TORNADOES;

COMPUTER SIMULATION; DATA SET; DOPPLER RADAR; ERROR ANALYSIS; MODELING; SUPERCELL; TORNADO; VORTEX FLOW; WIND FIELD;

EID: 68249141503     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008MWR2446.1     Document Type: Article

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